Special Interest Persons & Adverse media

Being able to identify whether a customer or prospective customer is involved in a legal process for a serious crime is vital to effective AML compliance.

The Dow Jones data that fuels RiskScreen Core and RiskScreen Batch includes intelligence gained from global media scanning 2 million articles a week from Factiva (the Dow Jones 40 year old archive of more than 32,000 sources in 28 languages).

Data Quality Assurance

Providing truly global coverage Dow Jones data is maintained by a team spread across five dedicated research and monitoring centres providing 24 hour coverage across 68 languages. Over fifty percent of the Dow Jones research team are educated to Masters or PHD level.

One key advantage Dow Jones researchers have is the ability to leverage Factiva, Dow Jones 40 year old archive of more than 32,000 sources in 28 languages. Hundreds of thousands of articles from these sources are added to Factiva daily.

Dow Jones was the first list provider to pass a ISAE3000 review and as part of the data quality assurance mechanisms the Dow Jones sanctions data is audited and accredited to international standards.

Dow Jones data is relied upon for AML / KYC screening purposes by the following:

3 of the 4 largest US banks

5 of the 6 largest Canadian banks

44 of the 45 largest Chinese banks

5 of the 7 largest Japanese banks

5 of the 6 largest Spanish banks

4 of the 5 largest French banks

4 of the 5 largest Scandinavian banks

7 out of the 13 Wolfsberg Group

False Positives

By utilising Dow Jones data with our next generation screening technology we are able to reduce false positive results by up to 90% compared to other screening providers whilst providing our customers with a very high level of confidence that true matches are not being missed.

ORGANISATION

Data should be well organised to enable the screening engine to utilise it in a consistent fashion to deliver accurate results

Quantity

Data sources should be as extensive as possible including secondary sanctions ownership data

Accuracy

The data has to be constantly maintained and be as up to date and accurate as possible.

ALIAS DATA

Many 'bad actors' engage with businesses utilising aliases. The best data sets contain the most alias data